Colorectal Cancer in Mice Genetically Deficient in the Mucin Muc2

753 indexed citations
published 2002

Countries where authors are citing Colorectal Cancer in Mice Genetically Deficient in the Mucin Muc2

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This map shows the geographic impact of Colorectal Cancer in Mice Genetically Deficient in the Mucin Muc2. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Colorectal Cancer in Mice Genetically Deficient in the Mucin Muc2 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colorectal Cancer in Mice Genetically Deficient in the Mucin Muc2 more than expected).

Fields of papers citing Colorectal Cancer in Mice Genetically Deficient in the Mucin Muc2

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Colorectal Cancer in Mice Genetically Deficient in the Mucin Muc2. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Colorectal Cancer in Mice Genetically Deficient in the Mucin Muc2.

About Colorectal Cancer in Mice Genetically Deficient in the Mucin Muc2

This paper, published in 2002, received 753 indexed citations . Written by Anna Velcich, Wancai Yang, Joerg Heyer, Alessandra Fragale, Courtney Nicholas, Raju Kucherlapati, Martin Lipkin, Kan Yang and Leonard H. Augenlicht covering the research area of Pathology and Forensic Medicine, Genetics and Molecular Biology. It is primarily cited by scholars working on Molecular Biology (458 citations), Surgery (193 citations) and Oncology (158 citations). Published in Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1126/science.1069094.

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